| FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data | Oct 15, 2021 | feature selectionInductive Learning | CodeCode Available | 1 |
| Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach | Oct 9, 2021 | Graph LearningGraph Neural Network | CodeCode Available | 1 |
| Inductive learning for product assortment graph completion | Oct 4, 2021 | Inductive Learning | —Unverified | 0 |
| How Neural Processes Improve Graph Link Prediction | Sep 30, 2021 | Inductive LearningInductive Link Prediction | CodeCode Available | 0 |
| Rethinking Temperature in Graph Contrastive Learning | Sep 29, 2021 | Contrastive LearningInductive Learning | CodeCode Available | 0 |
| A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories | Sep 26, 2021 | ClusteringInductive Learning | —Unverified | 0 |
| Adaptive Neural Message Passing for Inductive Learning on Hypergraphs | Sep 22, 2021 | Inductive Learning | —Unverified | 0 |
| Transductive Learning for Unsupervised Text Style Transfer | Sep 16, 2021 | DecoderInductive Learning | CodeCode Available | 1 |
| PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery | Sep 9, 2021 | Graph Neural NetworkInductive Learning | CodeCode Available | 1 |
| Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids | Sep 8, 2021 | Inductive BiasInductive Learning | —Unverified | 0 |
